BoxAI Value & ROIIBMLive · derived from simulation token streamAI Value & ROI
From Tokens to Outcomes
Translates raw AI token consumption into productivity outcomes, persona segmentation, budget attribution, per-user utilization, financial KPIs, and dynamic model selection — making cost data strategically meaningful for stakeholder storytelling.
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Dynamic LLM Selector
Recommend a model from the catalog based on your task constraints
Latency Need3/5
1 = no rush · 5 = real-time required
Cost Sensitivity3/5
1 = cost-agnostic · 5 = minimize cost
Reasoning Depth3/5
1 = simple · 5 = deep reasoning
Expected Volume / mo5,000
Avg Tokens / Request12,000
Recommended Model
Granite 3.1 2B
Economy · $0.20/1K tokens · score 85/100
Projected Monthly Cost
$12,000
For
General Q&A
Model Comparison — Ranked by Fit
| Model | Category | Rate/1K | Task Fit | Cost Fit | Latency Fit | Reason Fit | Composite | Projected Cost |
|---|---|---|---|---|---|---|---|---|
| Granite 3.1 2B★ | Economy | $0.20 | 100 | 89 | 95 | 40 | 85 | $12,000 |
| Granite 3.1 8B | General Purpose | $0.60 | 100 | 67 | 85 | 60 | 82 | $36,000 |
| Granite Code 8B | Code | $0.60 | 55 | 67 | 80 | 50 | 62 | $36,000 |
| Embedding (ControlPlane prototype) | Embedding | $0.02 | 15 | 99 | 95 | 10 | 49 | $1,200 |
| Advanced Reasoning (ControlPlane prototype) | Advanced Reasoning | $1.80 | 55 | 0 | 40 | 100 | 48 | $108,000 |
Current actual usage in the simulation: Granite 3.1 8B ($26,757.52 MTD spend). Adjust criteria to see if a different model fits better.